Plan where to measure and what to record so a single round of field work gives you actionable network data. Once collected, your measurements feed directly into calibration.
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A model calibration is only as reliable as the field observations behind it. Where you place loggers, what you monitor, and when you sample determines whether a test reveals actual network behavior or burns a week of crew time confirming what you already know.
Planning tests deliberately before sending crews into the field ensures every recorded pressure and flow directly supports calibration. You capture meaningful data on the first deployment, saving field hours and avoiding repeated site visits.
Rather than spacing pressure and flow loggers uniformly across a grid, field planning helps you pinpoint locations where new data changes your understanding of the network. You identify the specific junctions and mains where field data will most effectively resolve unknowns, such as unverified pipe roughness (C-factors) or suspected throttled valves.
Planned hydrant tests follow the same logic. By running controlled, high-flow discharges on specific mains, you induce measurable head loss and stress the system where the model has the least certainty, settling questions that standard static pressures can't answer.
Hydrant test plan
FH-7
Field planning connects directly to the rest of your modeling workflow. Identify your logger locations on the network map, export clear location manifests for field crews, and import loggers' time-series data directly back onto the exact same assets.
Because planning and calibration share the same model environment, there is no need to reconcile coordinates across multiple tools or manually clean up spreadsheet imports.
The same network layout tools help you plan acoustic leak detection. Place acoustic loggers along your mains and instantly visualize each unit's listening range based on pipe material and diameter. You can visually identify coverage gaps, adjust positions, and see your protected network footprint update live on the map.
Manually siting dozens of loggers on a complex distribution network takes hours of trial and error. epanet-js uses an automated optimization algorithm to evaluate thousands of candidate layouts, identifying configurations that maximize network coverage while minimizing total logger count.
You get an efficient, high-coverage deployment plan in minutes, with full freedom to tweak individual logger locations based on field access and local knowledge.
Logger placement
DMA-3
Plan where to record pressures and flows so the data you collect tells you how the network is really behaving.
Turn the analysis into a practical, shareable plan your field crews can follow on the ground.
Collect the measurements that make calibration faster and the resulting model more trustworthy.
Use the same map to work out where acoustic loggers go and how much of the network they cover.
Choose where to measure and what to record before a crew rolls.
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Field planning connects directly to how you construct your network, allocate customer demands, and tune your model against real-world observations in calibration. In epanet-js, every stage lives in the same workspace, so your field data, network geometry, and calibration runs stay completely in sync.
Field data feeds the rest of the modeling workflow.
How planning a field test works with epanet-js.
Choose where to measure and collect the data calibration needs. Launch epanet-js or book a demo.
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